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GeneralizedIndependentNoiseCondition forEstimatingLatentVariableCausalGraphs
Neural Information Processing Systems
Y and Z are statistically independent, whereฯ is a parameter vector characterized from the cross-covariance betweenY andZ.
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89d4402dc03d3b7318bbac10203034ab-Paper.pdf
Neural Information Processing Systems
A global scoring mechanism isthen developed toregulate beam search togenerate summaries in a near-global optimal fashion.
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EfficientClusteringBasedOnAUnifiedViewOf K-meansAndRatio-cut
Neural Information Processing Systems
Inspite ofitsgood (promising) performance, ratio-cut and other traditional spectral clustering methods (SC) suffer from the following drawbacks: (1) The timecomplexityoftraditional spectral clustering isO(n2c),which isoneofsignificant drawbacks of SC. Much effort has been devoted to accelerate the process.
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